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Senior Data Architect Jobs in Renton, WA (NOW HIRING)

The Walt Disney Company

Sr Data Engineer

Seattle, WA

$120K - $163K/yr

Job Posting Title: Sr Data Engineer Req ID: 10147075 Technology is at the heart of Disney's past ... Architect, build, and maintain scalable ETL/ELT pipelines for acquisition reporting using ...

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How much do senior data architect jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for senior data architect in Renton, WA is $84.80, according to ZipRecruiter salary data. Most workers in this role earn between $72.74 and $97.36 per hour, depending on experience, location, and employer.

What does a senior data architect do?

A Senior Data Architect is responsible for designing, creating, and managing an organization's data infrastructure and strategy. They ensure that data is stored, organized, and accessed efficiently, supporting business goals and analytics needs. Their role often includes selecting appropriate database technologies, defining data models, setting data governance policies, and ensuring security and compliance. Senior Data Architects also collaborate with IT teams, data scientists, and business stakeholders to align data solutions with company objectives.

What are the key skills and qualifications needed to thrive as a senior data architect?

To thrive as a Senior Data Architect, you need deep expertise in data modeling, database design, and data integration, typically supported by a degree in computer science or a related field. Mastery of modern database platforms (e.g., SQL, NoSQL), cloud data services (like AWS, Azure, or Google Cloud), and relevant certifications such as CDMP or AWS Certified Data Analytics are commonly required. Exceptional problem-solving, stakeholder communication, and leadership skills set top performers apart in this role. These skills ensure robust, scalable data architectures that align with business goals and enable effective decision-making.

How does a senior data architect typically collaborate with other teams within an organization?

A Senior Data Architect regularly works with cross-functional teams, including data engineers, business analysts, software developers, and IT leadership. They serve as the bridge between business requirements and technical implementation, ensuring data models and architecture align with organizational goals. Effective collaboration is key, as they often lead design sessions, review data standards, and provide guidance on best practices. This role requires strong communication skills to translate complex technical concepts into actionable plans for both technical and non-technical stakeholders.

What is the difference between Senior Data Architect vs Data Engineer?

AspectSenior Data ArchitectData Engineer
CredentialsBachelor's/Master's in CS, Data Science, or related; certifications like AWS, Azure, or GCPBachelor's in CS, Software Engineering, or related; certifications in cloud platforms or data tools
Work EnvironmentDesigning data systems, creating architecture frameworks, collaborating with stakeholdersBuilding, maintaining, and optimizing data pipelines and infrastructure
Industry UsageUsed across industries for data strategy and architecture planningCommonly employed in data pipeline development and data management tasks

The Senior Data Architect focuses on designing and overseeing data systems and architecture, ensuring data solutions align with business needs. In contrast, Data Engineers primarily build and maintain the data pipelines and infrastructure necessary for data processing. Both roles require similar technical credentials and often work closely, but their core responsibilities differ in scope and focus.

What are the most commonly searched types of Data Architect jobs in Renton, WA?

The most popular types of Data Architect jobs in Renton, WA are:

What are popular job titles related to Senior Data Architect jobs in Renton, WA?

For Senior Data Architect jobs in Renton, WA, the most frequently searched job titles are:

What job categories do people searching Senior Data Architect jobs in Renton, WA look for?

The top searched job categories for Senior Data Architect jobs in Renton, WA are:

What cities near Renton, WA are hiring for Senior Data Architect jobs?

Cities near Renton, WA with the most Senior Data Architect job openings:

Senior Data Architect jobs near you
Infographic showing various Senior Data Architect job openings in Renton, WA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $176,374 per year, or $84.8 per hour.

Sr. Data Engineer with Unity Catalog

R2 Technologies Corporation

Seattle, WA • On-site

$130K - $156K/yr

Full-time

Re-posted 21 days ago

Job description

Overview:
Sr. Data Engineer with Unity Catalog
Sr. Data Engineer with Unity Catalog
Location - Seattle WA- 4 days office
Duration - 12 months
Core skills -
Collaborate with cross-functional teams to support data governance using Databricks Unity Catalog
Need to coordinate with Offshore
10-12+ years of experience in data engineering or a related field
Expertise with programming languages such as Python/PySpark, SQL, or Scala
• Experience working in a cloud environment (Azure preferred) with strong understanding of cloud data architecture
. Hands-on experience with Databricks Cloud Data Platforms Required.
-Should have experience migrating to Unity Catalog.
• Experience with workflow orchestration (e.g., Databricks Jobs, or Azure Data Factory pipelines) Required
Responsibilities -
Design, build, and deploy data extraction, transformation, and loading processes and pipelines from various sources including databases, APIs, and data files.
• Develop and support data pipelines within a Cloud Data Platform, such as Databricks
Build data models that reflect domain expertise, meet current business needs, and will remain flexible as strategy evolves
• Monitor and optimize Databricks cluster performance, ensuring cost-effective scaling and resource utilization
• Demonstrates ability to communicate technical concepts to non-technical audiences both in written and verbal form.
Demonstrates strong understanding with coding and programming concepts to build data pipelines (e.g. data transformation, data quality, data integration, etc.). . Demonstrates strong understanding of database storage concepts (data lake, relational databases, NoSQL, Graph, data warehousing).
Implement and maintain Delta Lake for optimized data storage, ensuring data reliability, performance, and versioning
Automate CI/CD pipelines for data workflows using Azure DevOps
Skills:
Databricks Unity Catalog,Python/PySpark,Azure Data Factory

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